Ph.D. Defense by: Diane Alleva Caceres

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  • Date/Time:
    • Monday March 30, 2015
      9:30 am - 11:30 am
  • Location: Ivan Allen College 136
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Summaries

Summary Sentence: Constructing Knowledge-based Industries in the Globalization Era: Social Learning, the Political Process and Institutional Change

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Ph.D. Thesis Defense: Diane Alleva Caceres


Advisor: Dr. Kirk Bowman

 

Committee: Dr. Kirk S. BowmanJon R. Wilcox Term Professor inSoccer, Global Politics, and SocietySam Nunn School of International AffairsGeorgia Institute of Technology Dr. Dan BreznitzSam Nunn School of International AffairsGeorgia Institute of TechnologyMunk Chair of Innovation StudiesMunk School of Global AffairsUniversity of Toronto  Dr. Alasdair YoungAssociate Professor and Jean Monnet ChairSam Nunn School of International AffairsGeorgia Institute of Technology Dr. Steven CasperDean of the School of Applied Life SciencesHenry E. Riggs Professor of ManagementKeck Graduate Institute Dr. Elisabeth B. ReynoldsExecutive DirectorIndustrial Performance CenterMassachusetts Institute of Technology Time: 9:30AMDate: Monday, 30 March 2015Location: Ivan Allen College 136

 

Title: "Constructing Knowledge-based Industries in the Globalization Era: 

Social Learning, the Political Process and Institutional Change"   

 

Abstract:

Countries including Australia, Canada and the United States have been promoting knowledge-based

industries, especially those requiring a significant scientific base like

bioscience, as engines of economic growth. This dissertation compares changes

in finance, skill development and corporate governance institutions, all of

which are critical to the bioscience industry, as part of countries’ strategic

responses to global technological and economic shocks. Because regions within

countries increasingly design their own economic institutions, this research also

compares the industrialized provinces of Quebec and Ontario as well as the Atlantic

Canadian provinces of New Brunswick, Newfoundland, Nova Scotia and Prince

Edward Island and their aspiring bioscience industries. Two factors help

explain institutional change and the different configurations: degree of social

learning – disruptive or incremental, and, type of iterative bargaining –

coordinative or fragmented. These variables in turn are impacted by the presence

and type of knowledge-oriented policy community. Within each case I examine the

mechanisms through which the social learning and iterative bargaining process

occurs in response to two global shocks: the 1980s discovery and use of rDNA

techniques as well as the 2008 global financial crisis. Research reveals a

diversity of institutional configurations over time representing high, mixed or

low levels of commitment.

 

 

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  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Mar 12, 2015 - 10:00am
  • Last Updated: Oct 7, 2016 - 9:48pm